|
|
--- |
|
|
base_model: save_model/llama3-2k-ref-spa_2 |
|
|
tags: |
|
|
- alignment-handbook |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- datasets/training-llama3-2k-ref-spa_3 |
|
|
model-index: |
|
|
- name: llama3-2k-ref-spa_3 |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# llama3-2k-ref-spa_3 |
|
|
|
|
|
This model is a fine-tuned version of [save_model/llama3-2k-ref-spa_2](https://huggingface.co/save_model/llama3-2k-ref-spa_2) on the datasets/training-llama3-2k-ref-spa_3 dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.2520 |
|
|
- Rewards/chosen: -22.5963 |
|
|
- Rewards/rejected: -23.2370 |
|
|
- Rewards/accuracies: 0.5490 |
|
|
- Rewards/margins: 0.6407 |
|
|
- Rewards/mix Margin: 0.6407 |
|
|
- Logps/rejected: -632.4390 |
|
|
- Logps/chosen: -645.1434 |
|
|
- Logits/rejected: -0.1931 |
|
|
- Logits/chosen: -0.2723 |
|
|
|
|
|
## Model description |
|
|
|
|
|
More information needed |
|
|
|
|
|
## Intended uses & limitations |
|
|
|
|
|
More information needed |
|
|
|
|
|
## Training and evaluation data |
|
|
|
|
|
More information needed |
|
|
|
|
|
## Training procedure |
|
|
|
|
|
### Training hyperparameters |
|
|
|
|
|
The following hyperparameters were used during training: |
|
|
- learning_rate: 5e-07 |
|
|
- train_batch_size: 1 |
|
|
- eval_batch_size: 1 |
|
|
- seed: 42 |
|
|
- distributed_type: multi-GPU |
|
|
- num_devices: 2 |
|
|
- gradient_accumulation_steps: 8 |
|
|
- total_train_batch_size: 16 |
|
|
- total_eval_batch_size: 2 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: cosine |
|
|
- lr_scheduler_warmup_ratio: 0.1 |
|
|
- num_epochs: 1 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/mix Margin | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
|
| 0.3548 | 0.53 | 1000 | 1.2520 | -22.5963 | -23.2370 | 0.5490 | 0.6407 | 0.6407 | -632.4390 | -645.1434 | -0.1931 | -0.2723 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.36.2 |
|
|
- Pytorch 2.1.2+cu121 |
|
|
- Datasets 2.14.6 |
|
|
- Tokenizers 0.15.2 |
|
|
|
